Summary of Efficient Adaptive Federated Optimization, by Su Hyeong Lee and Sidharth Sharma and Manzil Zaheer and Tian Li
Efficient Adaptive Federated Optimizationby Su Hyeong Lee, Sidharth Sharma, Manzil Zaheer, Tian LiFirst submitted to…
Summary of Point Cloud Compression with Bits-back Coding, by Nguyen Quang Hieu et al.
Point Cloud Compression with Bits-back Codingby Nguyen Quang Hieu, Minh Nguyen, Dinh Thai Hoang, Diep…
Summary of Movement Control Of Smart Mosque’s Domes Using Csrnet and Fuzzy Logic Techniques, by Anas H. Blasi et al.
Movement Control of Smart Mosque’s Domes using CSRNet and Fuzzy Logic Techniquesby Anas H. Blasi,…
Summary of Graph Contrastive Learning Via Cluster-refined Negative Sampling For Semi-supervised Text Classification, by Wei Ai et al.
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classificationby Wei Ai, Jianbin Li,…
Summary of Mec-ip: Efficient Discovery Of Markov Equivalent Classes Via Integer Programming, by Abdelmonem Elrefaey et al.
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programmingby Abdelmonem Elrefaey, Rong PanFirst submitted…
Summary of R2gen-mamba: a Selective State Space Model For Radiology Report Generation, by Yongheng Sun et al.
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generationby Yongheng Sun, Yueh Z. Lee,…
Summary of Advancing Super-resolution in Neural Radiance Fields Via Variational Diffusion Strategies, by Shrey Vishen et al.
Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategiesby Shrey Vishen, Jatin Sarabu, Saurav…
Summary of Beyond the Kolmogorov Barrier: a Learnable Weighted Hybrid Autoencoder For Model Order Reduction, by Nithin Somasekharan et al.
Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reductionby Nithin Somasekharan,…
Summary of Dreaming Learning, by Alessandro Londei et al.
Dreaming Learningby Alessandro Londei, Matteo Benati, Denise Lanzieri, Vittorio LoretoFirst submitted to arxiv on: 23…
Summary of Future Token Prediction — Causal Language Modelling with Per-token Semantic State Vector For Multi-token Prediction, by Nicholas Walker
Future Token Prediction – Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Predictionby…